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Azure Cosmos DB

3 use cases using this technology

HealthcareGenerative AIMachine Learning

Novo Nordisk builds AI drug discovery platform on Azure with Microsoft Research

Novo Nordisk

Novo Nordisk partnered with Microsoft Research to build an AI platform on Azure AI and data stacks spanning regulatory affairs, early research, drug discovery and trial design, using Azure OpenAI Service, Azure Cosmos DB and Azure Kubernetes Service, with Power BI and Power Apps for collaboration. The platform includes a copilot for researchers, shared reasoning-chain templates, and governance/auditing of how data and models are used. The teams published early results on predictive AI models for cardiovascular disease risk detection, including an algorithm that Novo Nordisk says predicts patients' cardiovascular risk better than the best clinical standards, drawing on more than 100 years of insulin research data.

Consumer GoodsGenerative AIConversational AI

Coca-Cola brings its iconic Santa into the future with an AI-powered avatar

Coca-Cola

Coca-Cola created an AI-powered avatar of its iconic Santa character that talks with consumers in real time, using Microsoft Foundry, Azure Speech in Foundry Tools, and Azure Cosmos DB. The avatar launched in 26 languages and spread across 43 countries, generating over 1 million consumer engagements.

Financial ServicesGenerative AIAgentic AILarge Language ModelsConversational AI

Banco Bradesco Streamlines Customer Service with Azure AI Foundry, Apps, and Databases

Banco Bradesco SA

Banco Bradesco, co-developing with Microsoft and Avanade, built Bridge, a multi-agent, technology-agnostic generative AI platform based on Azure OpenAI in Foundry Models, with governance standardized through Azure Red Hat OpenShift and Azure API Management for deployment and scaling. Bridge powers BIA for Customers and BIA Corporate virtual assistants across phone, chat and WhatsApp for roughly 74 million customers. Results include an 83% resolution rate for digital customer service, 80% for employee queries, 89% request retention, a more than 30% reduction in technology costs, product launches up to 10x faster, an 8x productivity increase in managerial efficiency, and a 65% efficiency gain in audit planning. Azure Cosmos DB processes more than two million requests and two billion inference tokens daily. The bank runs 10 large language models and at least 20 use cases in production, including MentorIA, which automates analysis of more than 18,000 collections calls per day.